DOCSLIB.ORG

Nvidia Buy Pitch

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
Nvidia Buy Pitch Colgate Investment Group Ticker: NVDA Nvidia Market Cap: 309,045.2 mm Buy Pitch Div Yield: 0.1% Sector: TMT Silicon Spring 2021 Current Price: $498.46 CEO Salary: $1,815,360 Matt, Matt, & Ben Company Overview NVIDIA Corporation ● Founded in 1993 ● Headquarters in Santa Clara, California C-Suite 18,975 ● CEO: Jen-Hsun Huang Number of Employees ● CFO: Colette Kress Operating Segments ● GPU ○ used in PC gaming, cloud-based gaming, designing, special effects, and artificial intelligence. ● Tegra Processor. 61.8% Normalized Net Income ○ more mobile based, used in artificial intelligence computing, self-driving Growth for 2021 vehicles, medical instruments, and robotics Company Quality Characteristics Important Financials QCOM → as a comparison ● Low debt-to-equity ratio (.35 as of 1/31/21) ● Debt-to-equity 2.06 52.73% ○ decreased in past two quarters ● Current ratio 2.15 Revenue Growth 2020 → 2021 ● 30.67 Operating margin - 1/31/21 ● ROA 15.13 Gross Margin Summary 67.53% ● Overall strong growth profile EPS growth vs. previous year ● Revenue growth >50% over the last year ● High EPS growth and ROA indicating profitability for shareholders 19.65 ROA - 1/31/21 Source: zacks.com Capital Structure Overview ● NVIDIA invests significantly in R&D, source of most of their debt ● Manufacturing is outsourced to third-party companies ● Acquired more debt in the past couple of years, indicates there may be a potential ~46% Debt to Equity innovation due to subsequent investment in R&D ○ Total Debt: 7,718m ○ Total Common Equity: 16,893m ○ Total Capital: 24,611m ~32x ● Debt has increased along with capital Source: capitaliq.com Interest Coverage ○ Although debt has increased exponentially, common equity has increased at a linear steady rate Market/Industry Analysis ● The GPU industry is growing at an astonishing rate as the need for power-efficient, 33.6% quick personal computers grows Projected CAGR ● Constant technological advancement is driving the demand for better GPUs that can process calculations quicker and consume less energy ● Growth is being driven by increased demand for high-quality 2D and 3D graphics $19.75B Market Size in 2019 as well as the ever-growing internet of things ● Gaming, Design & Manufacturing, & Healthcare are expected to drive the increase in the GPU market ~10 Number of Key Market Players Catalyst Analysis ● A bright future: Nvidia is swiftly moving into the field of cloud computing ● Company has purchased Mellanox which operates over 200 existing data centers around the continental United States ○ merger marks its expansion into AI based cloud computing and a cheaper computational solution for the masses ● Nvidia aims to expand out of the already booming hardware market ● Utilization of proprietary GPU and CPU technology give it a major advantage when taking on other businesses sectors ● Can apply its proprietary technology to create major change within areas such as AI and Graphic Modeling COVID-19 Sensitivity Analysis ● No layoffs due to coronavirus, CEO announced that the company would give No Layoffs raises to all employees Promised ● Able to do this because demand for computers and technology related to computers Company-Wide greatly increased due to lockdown Raises ○ workers needed new computers, and many in the healthcare and data analysis industry needed newer technology to apply to the crisis ● Provided additional employee support +53% y/y revenue change ○ gave free resources for their children’s education ○ supplying free 90-day trials for their GPU system Clara Parabricks to researchers, a computational framework supporting genomics applications +61% from DNA to RNA q/q revenue change Comps Analysis SWOT: Strength ● Stock price has been on a steady rise since July ● GPU chips are on the rise as the video game industry continues to gain popularity ● Potential upsides are propped up by the recent Cryptocurrency boom, many use 7.06% Nvidia’s GPU while mining cryptocurrency such as Bitcoin and Ethereum Intel Average Annual Sales Growth ○ Nvidia claims miners purchases of GPU accounted for over $100 million in revenue last quarter ● Rise in Data Centers contribute to Nvidia’s rise as Data Center suse GPO’s, which is expected to continue to rise 23.6% ● GPUs are the go-to processors for AI and Deep Learning Nvidia Average Annual Sales Growth ○ Data Center revenue (the sector responsible for Deep Learning) has increased to $968 million as of Q4 2020 SWOT: Weaknesses ● Faster rendering technology used by its competitors ○ AMD uses OpenGL as its main tendering technologies which is much faster than the rendering technologies used by NVIDIA ● Increased us of mobile technology ○ As mobile technology gains attention games become easily available on 62% mobile devices, demand for graphics cards specifically decreases Intel’s Overall GPU ● Slow to get into the LTE modem market ○ Nvidia lags behind Qualcomm (which recently swooped in and replaced Nvidia as the supplier of chips for the Nexus tablet) SWOT: Opportunities ● Acquisition of ARM ○ Expected to be completed, at the latest, Q1 2022 898% Increase in Data Center ○ Will drive innovation with Nvidia expanding ARM’s R&D in AI revenue since Q4 2016 ● Partnerships with Mercedes-Benz, Toyota, Volkswagen and Uber solidify its place in the autonomous driving sector ○ A few hundred vehicle manufacturers use their AI platform (DRIVE) 370 Number of companies are in ○ Legalization of autonomous driving is likely within the next several years Nvidia’s DRIVE program ● Consumer GPU growth is projected to continue due to gaming ○ Nvidia is the most popular graphics card brand for high-end gaming ○ New GPUs with reasonably priced real-time ray-tracing technology is a huge 14.1% CAGR for the gaming GPU breakthrough in gaming, allowing for far more realistic visuals market during 2021-2026 SWOT: Threats 45.05% ● Largest threat are other competitors AMD Revenue Growth 2020 ● Artificial intelligence is increasingly dominating the market, and other companies can potentially decrease the value of NVIDIA ● Intel, another semiconductor company, is threatening NVIDIA’s value in the artificial intelligence market ○ Intel’s Xeon chip is supposedly 3.5 times faster than NVIDIA’s Tesla chip 8.97% Intel Revenue Growth 2021 Supplemental Graphs P/E Ratio Stock Performance Compared to Competitors Source: zacks.com Nvidia vs S&P 500 P/Diluted EPS Source: csimarket.com Source: capitaliq.com Thesis Our thesis is to buy Nvidia: Enterprise Value • Overall strong growth profile • Innovations in technology expected to continue • Consumer demand for products also expected to continue Source: zacks.com • Partnerships and acquisitions solidify Nvidia’s strength as a company .
Load more

Recommended publications
  • NVIDIA GEFORCE GT 630 Step up to Better Video, Photo, Game, and Web Performance
    NVIDIA GEFORCE GT 630 Step up to better video, photo, game, and web performance. Every PC deserves dedicated graphics. The NVIDIA® GeForce® GT 630 graphics card delivers a premium multimedia experience “Sixty percent of integrated and reliable gaming—every time. Insist on NVIDIA dedicated graphics owners want dedicated graphics for the faster, more immersive performance your graphics in their next PC1”. customers want. GEFORCE GT 630 TECHNICAL SPECIFICATIONS CUDA CORES > 96 GRAPHICS CLOCK > 810 MHz PROCESSOR CLOCK > 1620 MHz Deliver more Accelerate performance by up Give customers the freedom performance—and fun— to 5x over today’s integrated to connect their PC to any MEMORY INTERFACE with amazing HD video, graphics solutions2 and provide 3D-enabled TV for a rich, > 128 Bit photo, web, and gaming. additional dedicated memory. cinematic Blu-ray 3D experience FRAME BUFFER in their homes4. > 512/1024 MB GDDR5 or 1024 MB DDR3 MICROSOFT DIRECTX > 11 BEST-IN-CLASS PERFORMANCE MICROSOFT DIRECTCOMPUTE > Yes BLU-RAY 3D4 > Yes TRUEHD AND DTS-HD AUDIO BITSTREAMING > Yes NVIDIA PHYSX™-READY > Yes MAX. ANALOG / DIGITAL RESOLUTION > 2048x1536 (analog) / 2560x1600 (digital) DISPLAY CONNECTORS > Dual Link DVI, HDMI, VGA NVIDIA GEFORCE GT 630 | SELLSHEET | MAY 12 NVIDIA® GEFORCE® GT 630 Features Benefits HD VIDEOS Get stunning picture clarity, smooth video, accurate color, and precise image scaling for movies and video with NVIDIA PureVideo® HD technology. WEB ACCELERATION Enjoy a 2x faster web experience with the latest generation of GPU-accelerated web browsers (Internet Explorer, Google Chrome, and Firefox) 5. PHOTO EDITING Perfect and share your photos in half the time with popular apps like Adobe® Photoshop® and Nik Silver EFX Pro 25.
    [Show full text]
  • Data Sheet: Quadro GV100
    REINVENTING THE WORKSTATION WITH REAL-TIME RAY TRACING AND AI NVIDIA QUADRO GV100 The Power To Accelerate AI- FEATURES > Four DisplayPort 1.4 Enhanced Workflows Connectors3 The NVIDIA® Quadro® GV100 reinvents the workstation > DisplayPort with Audio to meet the demands of AI-enhanced design and > 3D Stereo Support with Stereo Connector3 visualization workflows. It’s powered by NVIDIA Volta, > NVIDIA GPUDirect™ Support delivering extreme memory capacity, scalability, and > NVIDIA NVLink Support1 performance that designers, architects, and scientists > Quadro Sync II4 Compatibility need to create, build, and solve the impossible. > NVIDIA nView® Desktop SPECIFICATIONS Management Software GPU Memory 32 GB HBM2 Supercharge Rendering with AI > HDCP 2.2 Support Memory Interface 4096-bit > Work with full fidelity, massive datasets 5 > NVIDIA Mosaic Memory Bandwidth Up to 870 GB/s > Enjoy fluid visual interactivity with AI-accelerated > Dedicated hardware video denoising encode and decode engines6 ECC Yes NVIDIA CUDA Cores 5,120 Bring Optimal Designs to Market Faster > Work with higher fidelity CAE simulation models NVIDIA Tensor Cores 640 > Explore more design options with faster solver Double-Precision Performance 7.4 TFLOPS performance Single-Precision Performance 14.8 TFLOPS Enjoy Ultimate Immersive Experiences Tensor Performance 118.5 TFLOPS > Work with complex, photoreal datasets in VR NVIDIA NVLink Connects 2 Quadro GV100 GPUs2 > Enjoy optimal NVIDIA Holodeck experience NVIDIA NVLink bandwidth 200 GB/s Realize New Opportunities with AI
    [Show full text]
  • Download Gtx 970 Driver Download Gtx 970 Driver
    download gtx 970 driver Download gtx 970 driver. Completing the CAPTCHA proves you are a human and gives you temporary access to the web property. What can I do to prevent this in the future? If you are on a personal connection, like at home, you can run an anti-virus scan on your device to make sure it is not infected with malware. If you are at an office or shared network, you can ask the network administrator to run a scan across the network looking for misconfigured or infected devices. Another way to prevent getting this page in the future is to use Privacy Pass. You may need to download version 2.0 now from the Chrome Web Store. Cloudflare Ray ID: 67a229f54fd4c3c5 • Your IP : 188.246.226.140 • Performance & security by Cloudflare. GeForce Windows 10 Driver. NVIDIA has been working closely with Microsoft on the development of Windows 10 and DirectX 12. Coinciding with the arrival of Windows 10, this Game Ready driver includes the latest tweaks, bug fixes, and optimizations to ensure you have the best possible gaming experience. Game Ready Best gaming experience for Windows 10. GeForce GTX TITAN X, GeForce GTX TITAN, GeForce GTX TITAN Black, GeForce GTX TITAN Z. GeForce 900 Series: GeForce GTX 980 Ti, GeForce GTX 980, GeForce GTX 970, GeForce GTX 960. GeForce 700 Series: GeForce GTX 780 Ti, GeForce GTX 780, GeForce GTX 770, GeForce GTX 760, GeForce GTX 760 Ti (OEM), GeForce GTX 750 Ti, GeForce GTX 750, GeForce GTX 745, GeForce GT 740, GeForce GT 730, GeForce GT 720, GeForce GT 710, GeForce GT 705.
    [Show full text]
  • Datasheet Quadro K600
    ACCELERATE YOUR CREATIVITY NVIDIA® QUADRO® K620 Accelerate your creativity with FEATURES ® ® > DisplayPort 1.2 Connector NVIDIA Quadro —the world’s most > DisplayPort with Audio > DVI-I Dual-Link Connector 1 powerful workstation graphics. > VGA Support ™ The NVIDIA Quadro K620 offers impressive > NVIDIA nView Desktop Management Software power-efficient 3D application performance and Compatibility capability. 2 GB of DDR3 GPU memory with fast > HDCP Support bandwidth enables you to create large, complex 3D > NVIDIA Mosaic2 SPECIFICATIONS models, and a flexible single-slot and low-profile GPU Memory 2 GB DDR3 form factor makes it compatible with even the most Memory Interface 128-bit space and power-constrained chassis. Plus, an all-new display engine drives up to four displays with Memory Bandwidth 29.0 GB/s DisplayPort 1.2 support for ultra-high resolutions like NVIDIA CUDA® Cores 384 3840x2160 @ 60 Hz with 30-bit color. System Interface PCI Express 2.0 x16 Quadro cards are certified with a broad range of Max Power Consumption 45 W sophisticated professional applications, tested by Thermal Solution Ultra-Quiet Active leading workstation manufacturers, and backed by Fansink a global team of support specialists, giving you the Form Factor 2.713” H × 6.3” L, Single Slot, Low Profile peace of mind to focus on doing your best work. Whether you’re developing revolutionary products or Display Connectors DVI-I DL + DP 1.2 telling spectacularly vivid visual stories, Quadro gives Max Simultaneous Displays 2 direct, 4 DP 1.2 you the performance to do it brilliantly. Multi-Stream Max DP 1.2 Resolution 3840 x 2160 at 60 Hz Max DVI-I DL Resolution 2560 × 1600 at 60 Hz Max DVI-I SL Resolution 1920 × 1200 at 60 Hz Max VGA Resolution 2048 × 1536 at 85 Hz Graphics APIs Shader Model 5.0, OpenGL 4.53, DirectX 11.24, Vulkan 1.03 Compute APIs CUDA, DirectCompute, OpenCL™ 1 Via supplied adapter/connector/bracket | 2 Windows 7, 8, 8.1 and Linux | 3 Product is based on a published Khronos Specification, and is expected to pass the Khronos Conformance Testing Process when available.
    [Show full text]
  • NVIDIA AI-On-5G Computing Platform Adopted by Leading Service and Network Infrastructure Providers
    NVIDIA AI-on-5G Computing Platform Adopted by Leading Service and Network Infrastructure Providers Fujitsu, Google Cloud, Mavenir, Radisys and Wind River to Deliver Solutions for Smart Hospitals, Factories, Warehouses and Stores GTC -- NVIDIA today announced it is teaming with Fujitsu, Google Cloud, Mavenir, Radisys and Wind River to develop solutions for NVIDIA’s AI-on-5G platform, which will speed the creation of smart cities and factories, advanced hospitals and intelligent stores. Enterprises, mobile network operators and cloud service providers that deploy the platform will be able to handle both 5G and edge AI computing in a single, converged platform. The AI-on-5G platform leverages the NVIDIA Aerial™ software development kit with the NVIDIA BlueField®-2 A100 — a converged card that combines GPUs and DPUs including NVIDIA’s “5T for 5G” solution. This creates high-performance 5G RAN and AI applications in an optimal platform to manage precision manufacturing robots, automated guided vehicles, drones, wireless cameras, self-checkout aisles and hundreds of other transformational projects. “In this era of continuous, accelerated computing, network operators are looking to take advantage of the security, low latency and ability to connect hundreds of devices on one node to deliver the widest range of services in ways that are cost-effective, flexible and efficient,” said Ronnie Vasishta, senior vice president of Telecom at NVIDIA. “With the support of key players in the 5G industry, we’re delivering on the promise of AI everywhere.” NVIDIA and several collaborators in this new AI-on-5G ecosystem are members of the O-RAN Alliance, which is developing standards for more intelligent, open, virtualized and fully interoperable mobile networks.
    [Show full text]
  • Nvidia A100 Supercharges Cfd with Altair and Google Cloud
    NVIDIA A100 SUPERCHARGES CFD WITH ALTAIR AND GOOGLE CLOUD Image courtesy of Altair Ultra-Fast CFD powered by Altair, Google TAILORED FOR YOU Cloud, and NVIDIA > Get exactly as many GPUs as you need, for exactly as long as you need them, and pay The newest A2 VM family on Google Cloud Platform was designed to just for that. meet today’s most demanding applications. With up to 16 NVIDIA® A100 Tensor Core GPUs in a node, each offering up to 20X the compute FASTER OUT OF THE BOX performance of the previous generation and a whopping total of up to > The new Ampere GPU architecture on Google Cloud A2 instances delivers 640GB of GPU memory, CFD simulations with Altair ultraFluidX™ were the unprecedented acceleration and flexibility ideal candidate to test the performance and benefits of the new normal. to power the world’s highest-performing elastic data centers for AI, data analytics, With ultraFluidX, highly resolved transient aerodynamics simulations and HPC applications. can be performed on a single server. The Lattice Boltzmann Method is a perfect fit for the massively parallel architecture of NVIDIA GPUs, THINK THE UNTHINKABLE and sets the stage for unprecedented turnaround times. What used to > With a total of up to 312 TFLOPS FP32 peak be overnight runs on single nodes now becomes possible within working performance in the same node linked with NVLink technology, with an aggregate hours by utilizing state-of-the-art GPU-optimized algorithms, the new bandwidth of 9.6TB/s, new solutions to NVIDIA A100, and Google Cloud’s A2 VM family, while delivering the high many tough challenges are within reach.
    [Show full text]
  • NVIDIA and Tech Leaders Team to Build GPU-Accelerated Arm Servers for New Era of Diverse HPC Architectures
    NVIDIA and Tech Leaders Team to Build GPU-Accelerated Arm Servers for New Era of Diverse HPC Architectures Arm, Ampere, Cray, Fujitsu, HPE, Marvell to Build NVIDIA GPU-Accelerated Servers for Hyperscale-Cloud to Edge, Simulation to AI, High-Performance Storage to Exascale Supercomputing SC19 -- NVIDIA today introduced a reference design platform that enables companies to quickly build GPU-accelerated Arm®-based servers, driving a new era of high performance computing for a growing range of applications in science and industry. Announced by NVIDIA founder and CEO Jensen Huang at the SC19 supercomputing conference, the reference design platform -- consisting of hardware and software building blocks -- responds to growing demand in the HPC community to harness a broader range of CPU architectures. It allows supercomputing centers, hyperscale-cloud operators and enterprises to combine the advantage of NVIDIA's accelerated computing platform with the latest Arm-based server platforms. To build the reference platform, NVIDIA is teaming with Arm and its ecosystem partners -- including Ampere, Fujitsu and Marvell -- to ensure NVIDIA GPUs can work seamlessly with Arm-based processors. The reference platform also benefits from strong collaboration with Cray, a Hewlett Packard Enterprise company, and HPE, two early providers of Arm-based servers. Additionally, a wide range of HPC software companies have used NVIDIA CUDA-X™ libraries to build GPU-enabled management and monitoring tools that run on Arm-based servers. “There is a renaissance in high performance computing,'' Huang said. “Breakthroughs in machine learning and AI are redefining scientific methods and enabling exciting opportunities for new architectures. Bringing NVIDIA GPUs to Arm opens the floodgates for innovators to create systems for growing new applications from hyperscale-cloud to exascale supercomputing and beyond.'' Rene Haas, president of the IP Products Group at Arm, said: “Arm is working with ecosystem partners to deliver unprecedented performance and efficiency for exascale-class Arm-based SoCs.
    [Show full text]
  • Quadro Vws on Google Cloud Platform
    Industry Support for Quadro vWS on Google Cloud Platform “Access to NVIDIA Quadro Virtual Workstation on the Google Cloud Platform will empower many of our customers to deploy and start using Autodesk software quickly, from anywhere. For certain workflows, customers leveraging NVIDIA T4 and RTX technology will see a big difference when it comes to rendering scenes and creating realistic 3D models and simulations. We’re excited to continue to collaborate with NVIDIA and Google to bring increased efficiency and speed to artist workflows." - Eric Bourque, Senior Software Development Manager, Autodesk “Many organizations are seeing the need for greater flexibility as they transition into a multi and hybrid cloud environment. NVIDIA Quadro Virtual Workstation alongside Citrix Workspace cloud services on the GCP Marketplace ensures today's workforce can have instant access to graphically rich 3D applications, from anywhere. With support for the latest Turing architecture-based NVIDIA T4 GPUs, we can assure Citrix Workspace users can experience interactive, high-fidelity rendering with RTX technology on GCP.” - James Hsu, Technical Alliance Director, Citrix “CL3VER has changed the way customers engage with products. Our cloud-based real-time rendering solution enables customers to interact with and visualize 3D content directly to the web. With Quadro vWS from the GCP marketplace powered by NVIDIA T4 and RTX technology, customers can now experience products on physical showrooms virtually with photorealistic quality, visualize 3D scenes in real-time,
    [Show full text]
  • Advanced Micro Devices (AMD)
    Strategic Report for Advanced Micro Devices, Inc. Tad Stebbins Andrew Dialynas Rosalie Simkins April 14, 2010 Advanced Micro Devices, Inc. Table of Contents Executive Summary ............................................................................................ 3 Company Overview .............................................................................................4 Company History..................................................................................................4 Business Model..................................................................................................... 7 Market Overview and Trends ...............................................................................8 Competitive Analysis ........................................................................................ 10 Internal Rivalry................................................................................................... 10 Barriers to Entry and Exit .................................................................................. 13 Supplier Power.................................................................................................... 14 Buyer Power........................................................................................................ 15 Substitutes and Complements............................................................................ 16 Financial Analysis ............................................................................................. 18 Overview ............................................................................................................
    [Show full text]
  • Core Equity Commentary
    4Q15 AS OF DECEMBER 31, 2015 CORE EQUITY COMMENTARY In the 4 th quarter our Core composite had a preliminary gross return of 7.18% (net of fees: 7.06%) compared to 7.04% for the S&P 500 Index. Below you will find the portfolio’s best and worst performing stocks in the quarter. AVERAGE CONTRIBUTION* TO BEST PERFORMING SECURITIES WEIGHT PORTFOLIO RETURN NVIDIA Corporation 2.17% 0.47% CSRA, Inc. 0.29% 0.23% Apple, Inc. 1.91% 0.19% Amgen Inc. 2.37% 0.17% Visteon Corporation 2.49% 0.15% AVERAGE CONTRIBUTION* TO WORST PERFORMING SECURITIES WEIGHT PORTFOLIO RETURN Freeport -McMoRan, Inc. 0.80% -0.26% Devon Energy Corporation 1.30% -0.21% QUALCOMM Incorporated 1.93% -0.19% Aetna Inc. 2.39% -0.18% Marvell Technology Group Ltd 1.72% -0.15% *Contribution calculation methodology is available upon request After a dramatic third quarter decline, capital markets saw a rebound in the fourth quarter, particularly in the Materials [+10.18%], Health Care [+9.4%], and Information Technology [+9.14%] sectors. This market momentum helped to drive the S&P 500 into positive territory for the year, ending at +1.43% including dividends. On the heels of the Federal Reserve’s (Fed) decision to raise short-term interest rates, it seemed that investors got some confirmation that the economy was stable enough to handle a real interest rate above zero. Amidst uncertain international growth prospects and depressed commodity prices, the Fed has telegraphed some confidence in the U.S. economy. Following the same trend as the third quarter, NVIDIA (NVDA) was a top performing company and Marvell was in the bottom performing group.
    [Show full text]
  • Datasheet Quadro P400
    UNMATCHED POWER. UNMATCHED CREATIVE FREEDOM. NVIDIA® QUADRO® P400 Essential Professional Graphics FEATURES > Three mini DisplayPort 1.4 For Maximum Productivity Connectors1 > DisplayPort with Audio The NVIDIA Quadro P400 combines a 256 CUDA core > NVIDIA nView® Desktop Pascal GPU, large on-board memory and advanced Management Software display technologies to deliver great performance for > HDCP 2.2 Support a range of professional applications. 2 GB of ultra-fast > NVIDIA Mosaic2 GPU memory makes it easy to manage complex 2D > Dedicated hardware video encode and decode engines3 and 3D models and the single-slot, low-profile form SPECIFICATIONS factor makes it compatible with even the most space GPU Memory 2 GB GDDR5 and power-constrained chassis. Support for three 4K Memory Interface 64-bit displays (4096x2160 @ 60Hz) with HDR color gives Memory Bandwidth Up to 32 GB/s you a wide visual workspace to view your work in NVIDIA CUDA® Cores 256 extremely high resolution. System Interface PCI Express 3.0 x16 Quadro cards are certified with a broad range of Max Power Consumption 30 W sophisticated professional applications, tested by Thermal Solution Active leading workstation manufacturers, and backed by Form Factor 2.713” H x 5.7” L, a global team of support specialists, giving you the Single Slot, Low Profile peace of mind to focus on doing your best work. Display Connectors 3x mDP 1.4 Whether you’re developing revolutionary products or Max Simultaneous 3 direct, 3 DP 1.4 telling spectacularly vivid visual stories, Quadro gives Displays Multi-Stream you the performance to do it brilliantly. Display Resolution 3x 4096x2160 @ 60Hz 1x 5120x2880 @ 60Hz Graphics APIs Shader Model 5.1, OpenGL 4.54, DirectX 12.05, Vulkan 1.04 Compute APIs CUDA, DirectCompute, OpenCL™ 1 VGA/DVI/HDMI support via adapter/connector/bracket | 2 Windows 7, 8, 8.1 and Linux | 3 Please refer to http://developer.nvidia.
    [Show full text]
  • Gpu-Accelerated Applications
    GPU-ACCELERATED APPLICATIONS Test Drive the World’s Fastest Accelerator – Free! Take the GPU Test Drive, a free and easy way to experience accelerated computing on GPUs. You can run your own application or try one of the preloaded ones, all running on a remote cluster. Try it today. www.nvidia.com/gputestdrive GPU-ACCELERATED APPLICATIONS Accelerated computing has revolutionized a broad range of industries with over five hundred applications optimized for GPUs to help you accelerate your work. CONTENTS 1 Computational Finance 2 Climate, Weather and Ocean Modeling 2 Data Science and Analytics 4 Deep Learning and Machine Learning 7 Federal, Defense and Intelligence 8 Manufacturing/AEC: CAD and CAE COMPUTATIONAL FLUID DYNAMICS COMPUTATIONAL STRUCTURAL MECHANICS DESIGN AND VISUALIZATION ELECTRONIC DESIGN AUTOMATION 15 Media and Entertainment ANIMATION, MODELING AND RENDERING COLOR CORRECTION AND GRAIN MANAGEMENT COMPOSITING, FINISHING AND EFFECTS EDITING ENCODING AND DIGITAL DISTRIBUTION ON-AIR GRAPHICS ON-SET, REVIEW AND STEREO TOOLS WEATHER GRAPHICS 22 Medical Imaging 22 Oil and Gas 23 Research: Higher Education and Supercomputing COMPUTATIONAL CHEMISTRY AND BIOLOGY NUMERICAL ANALYTICS PHYSICS SCIENTIFIC VISUALIZATION 33 Safety & Security 35 Tools and Management Computational Finance APPLICATION NAME COMPANY/DEVELOPER PRODUCT DESCRIPTION SUPPORTED FEATURES GPU SCALING Accelerated Elsen Secure, accessible, and accelerated back- * Web-like API with Native bindings for Multi-GPU Computing Engine testing, scenario analysis, risk analytics Python, R, Scala, C Single Node and real-time trading designed for easy * Custom models and data streams are integration and rapid development. easy to add Adaptiv Analytics SunGard A flexible and extensible engine for fast * Existing models code in C# supported Multi-GPU calculations of a wide variety of pricing transparently, with minimal code Single Node and risk measures on a broad range of changes asset classes and derivatives.
    [Show full text]